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Academic Articles & Research Papers
Showing 20 of 192 academic articles
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
Stuart Stock • Field Actions Science Reports
(2026)
As the global economy confronts the dual imperatives of ecological preservation and technological advancement, we at Veolia, are executing a comprehensive strategy that places Artificial Intelligence (AI) at the core of our operations and f...
DOAJ
Open Access (DOAJ)
Junhua Sun, Huabin He, Debing Zeng • Sensors
(2016)
Global calibration methods for multi-camera system are critical to the accuracy of vision measurement. Proposed in this paper is such a method based on several groups of sphere targets and a precision auxiliary camera. Each camera to be cal...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s16010077
Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution
(2023)
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
Jie Lu, Wenpeng Zhang, Yongxiang Liu, Wei Yang • Remote Sensing
(2022)
The fine state of targets can be represented by the extracted micro-Doppler (m-D) components from the radar echo. However, current methods do not consider the specialty of the m-D components, and their performance with non-sinusoidal compon...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14194764
Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao et al. • Information Processing in Agriculture
(2019)
Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer visio...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.inpa.2019.09.006
Scott Krig • Apress eBooks
(2014)
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necess...
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-1-4302-5930-5
Esteban G. Contreras, Tomás Palominos, Álvaro Glavic, Andrea H. Brand et al. • Scientific Reports
(2018)
Abstract Precise control of neurite guidance during development is essential to ensure proper formation of neuronal networks and correct function of the central nervous system (CNS). How neuronal projections find their targets to generate a...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-018-31654-5
Zhihua Xie BS, Jinfeng Liu PhD, Lixia Hou MS, Haoran Feng MS et al. • Technology in Cancer Research & Treatment
(2026)
Introduction Leukemia is one of the most prevalent cancers in children. The use of total marrow and lymphoid irradiation (TMLI) via helical tomotherapy (TOMO) as a conditioning regimen prior to bone marrow transplant (BMT) has been widely a...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/15330338261426261
Ardian Kelmendi, George Pappas • Algorithms
(2025)
The automotive industry increasingly relies on 3D modeling technologies to design and manufacture vehicle components with high precision. One critical challenge is optimizing the placement of latches that secure the dashboard side paneling,...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18090553
DeLiang Wang, Jitong Chen • IEEE/ACM Transactions on Audio Speech and Language Processing
(2018)
Speech separation is the task of separating target speech from background interference. Traditionally, speech separation is studied as a signal processing problem. A more recent approach formulates speech separation as a supervised learning...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/taslp.2018.2842159
PMC: 6586438
Daniel Veltri, Uday Kamath, Amarda Shehu • Bioinformatics
(2018)
Motivation: Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by w...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1093/bioinformatics/bty179
PMC: 6084614
Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru • IEEE Access
(2025)
The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. However, traditional methods and some deep learning models have li...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3536553
Samane Esmaelzade Kalkhoran, Seyyed Saeed Ghannadpour • Scientific Reports
(2026)
Abstract Porphyry Cu deposits in the Urmia–Dokhtar magmatic belt constitute important exploration targets, yet the heterogeneous and multi-scale nature of geological, geochemical, and remote sensing data introduces substantial uncertainty i...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-61085-6
Shuo Han, Bo Mo, Junwei Xu, Shizun Sun et al. • International Journal of Computational Intelligence Systems
(2024)
Abstract Infrared images of sensitive targets are difficult to obtain and cannot meet the design and training needs of target detection and tracking algorithms for mobile platforms such as aircraft. This paper proposes an image translation ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44196-024-00674-7
Tanattrin Bunnag • Forecasting
(2026)
Geopolitical uncertainty may affect financial markets, but its incremental value for forecasting emerging-market stock returns remains unclear. Using monthly data from January 1990 to July 2026, this study compares ARIMA-GARCH and ARIMAX-GA...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/forecast8050087
Matthew Ryan, Jinjing Ye, Justin Sexton, Roslyn I. Hickson et al. • Royal Society Open Science
(2025)
Face mask wearing is a protective health behaviour that helps mitigate the spread of infectious diseases such as influenza and COVID-19. Understanding predictors of face mask wearing can help refine public health messaging and policy in fut...
DOAJ
Open Access (DOAJ)
DOI: 10.1098/rsos.241941
Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding et al. • BioData Mining
(2024)
Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13040-024-00369-x
Yanan Wang, Jiangning Song, Tatiana T. Marquez-Lago, André Leier et al. • Scientific Reports
(2017)
Abstract Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced pro...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-017-06219-7
Jennifer K. Briggs, J. N. Stroh, Soojin Park, Brandon Foreman et al. • npj Digital Medicine
(2026)
Abstract Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure and physiological mechanisms collectively referred to as cerebral vascular regulation (CVR). Direct measurement of cerebral blood fl...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-026-02600-x